This will be presented in English.

We have made rapid progress in apply machine learning to solve perception, prediction and planning problems. However, there are fundamental challenges ahead. We need to learn more robust and abstract representations, understand driving scenes, and make decisions in multi-agent settings.

Li Erran Li

Scale | Columbia University

Li Erran Li is the head of machine learning at Scale and an adjunct professor at Columbia University. Previously, he was chief scientist at Pony.ai. Before that, he was with the perception team at Uber ATG and machine learning platform team at Uber where he worked on deep learning for autonomous driving, led the machine learning platform team technically, and drove strategy for company-wide artificial intelligence initiatives. He started his career at Bell Labs. Li’s current research interests are machine learning, computer vision, learning-based robotics, and their application to autonomous driving. He has a PhD from the computer science department at Cornell University. He’s an IEEE Fellow and an ACM Fellow.